Assistant Professor, Applied Computing
Apply now (https://secure.dc4.pageuppeople.com/apply/1021/gateway/default.aspx?c=apply&lJobID=493363&lJobSourceTypeID=796&sLanguage=en-us) Job No: 23145
Department: Applied Computing
Work Type: Faculty
Location: Main Campus (Houghton, MI)
Full Time / Part Time: Full Time
Categories: Computing, Applied Computing
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.
If you require any auxiliary aids, services, or other accommodations to apply for employment, or for an interview, at Michigan Technological University, please notify the Human Resources office at 906-487-2280 or [email protected].
Job Description Summary
Michigan Technological University and the Department of Applied Computing's MS in Health Informatics program invite applications for a tenure track faculty position at the rank of Assistant Professor. Applicants with the education, experience, knowledge, skills, abilities, and accomplishments commensurate with a higher rank may be considered for an appointment at the rank of Associate Professor or Professor.
The successful candidate will have an earned doctorate in health informatics, biomedical data science, biomedical informatics, computational medicine, or a closely related discipline at the time of employment. Applicants with research and/or teaching interests in the following area(s) are encouraged to apply: biomedicine and healthcare machine learning and AI, clinical decision support systems (CDSS), health data analytics and big data, computational epidemiology, medical imaging and computer vision, longitudinal data analysis, mHealth and Internet of Medical Things (IoMT), health informatics ethics, security and privacy, and additional related areas. Michigan Tech attracts world-class faculty and staff who enrich the educational experience of smart, motivated, and adventurous students.
Applicants who are committed to promoting a sense of belonging and contributing to an equitable and inclusive learning environment for all are strongly encouraged to apply (https://www.mtu.edu/diversity-inclusion/).
Essential Duties & Responsibilities (other duties may be assigned)
Contribute in a meaningful way to the mission of Michigan Tech's College of Computing: To advance the transformational promise of computing in the service of society through excellence in teaching, research, and outreach.
Develop a vigorous externally funded research program in areas of interest while fostering internal and external collaborations.
Engage in undergraduate and graduate teaching and mentorship while maintaining a high level of student engagement.
Participate in department, college, university, and professional service activities.
Integrate safety practices into daily activities and commit to learning about continuous improvement strategies and applying them to everyday work.
Required Education, Certifications, Licensures (minimum requirements)
Earned doctorate in health informatics, biomedical data science, biomedical informatics, computational medicine or closely related discipline at the time of employment.
Required Experience (minimum requirements)
Demonstrated experience in graduate and undergraduate teaching, mentorship, and/or student success.
Research activity leading to the publication of scholarly work in venues appropriate to the field of study.
Experience with external funding resources and opportunities utilized by U.S. or international academic institutions, e.g., NIH, NSF, CDC, AHRQ, PCORI, HRSA, AMA, FDA, VA, and others.
Desirable Education and/or Experience
Teaching experience in an institution of higher education.
Applicants with research and/or teaching interests in the following area(s) are encouraged to apply: biomedicine and healthcare machine learning and AI, clinical decision support systems (CDSS), health data analytics and big data, computational epidemiology, medical imaging and computer vision, longitudinal data analysis, mHealth and Internet of Medical Things (IoMT), health informatics ethics, security and privacy, and additional related areas.
Industrial or entrepreneurial experience in areas of expertise.
Service activities at higher education institutes or professional organizations such as AMIA, HIMSS, IMIA, ISDS, PHII, ANIA, IEEE, MICCAI, and others.
Applicants from Minority Serving Institutions (Historically Black Colleges and Universities, Hispanic-serving institutions, Tribal Colleges and Universities, and Asian American and Pacific Islander-serving institutions) are strongly invited to apply.
Required Knowledge, Skills, and/or Abilities (minimum requirements)
Ability to develop and successfully complete research projects in a collaborative environment.
Strong oral and written communication and presentation skills to a diverse audience.
Desirable Knowledge, Skills, and/or Abilities
Demonstrated ability to design and deliver an academic course in areas of expertise using the mediums of on-campus and online formats.
Ability to lead and manage a research team, including graduate students, undergraduate students, research staff, and other faculty.
Demonstrated success in, or potential future contributions to, working with persons from diverse backgrounds, creating a sense of belonging, and fostering a fair, objective, welcoming place to work for persons with a wide variety of personal characteristics and viewpoints.
Language, Mathematics and/or Reasoning Skills
Work Environment and/or Physical Demands
The work environment is that of a typical office and/or classroom setting. The noise level in the work environment is usually low to moderate.
Required Training and Other Conditions of Employment
Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.
Required University Training:
Employee Safety Overview
Anti-Harassment, Discrimination, Retaliation Training
Annual Data Security Training
Annual Title IX Training
Background Check:
Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.
Other Conditions of Employment:
The successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. This is not an E-Verified Position.
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.
Full-Time Equivalent (FTE) % (1=100%)
1
FLSA Status
Exempt
Appointment Term
9 months
Shift
Pay Rate/Salary
Title of Position Supervisor
Department Chair
Posting Type
Internal & External
Dependent on Funding
False
Special Instructions to Applicants (if applicable)
Applicants will need to upload the following documents:
? Cover Letter
? Curriculum Vitae
? Research Statement
? Teaching Statement
This job is scheduled to begin Fall Semester 2024. For full consideration, complete application packages should be received by November 15, 2023; however, applications will be considered until the position is filled.
To apply, visit http://www.employment.mtu.edu/cw/en-us/job/493363.
We strongly encourage applicants to address the required and desired qualifications in their cover letter along with an e
